Standard deviation patch core area (class level)
lsm_c_core_sd(landscape, directions, consider_boundary, edge_depth)# S3 method for RasterLayer
lsm_c_core_sd(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
# S3 method for RasterStack
lsm_c_core_sd(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
# S3 method for RasterBrick
lsm_c_core_sd(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
# S3 method for stars
lsm_c_core_sd(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
# S3 method for list
lsm_c_core_sd(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
Raster* Layer, Stack, Brick or a list of rasterLayers.
The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).
Logical if cells that only neighbour the landscape boundary should be considered as core
Distance (in cells) a cell has the be away from the patch edge to be considered as core cell
tibble
$$CORE_{SD} = sd(CORE[patch_{ij}])$$ where \(CORE[patch_{ij}]\) is the core area in square meters of each patch.
CORE_SD is a 'Core area metric'. It equals the standard deviation of the core area of each patch belonging to class i. The core area is defined as all cells that have no neighbour with a different value than themselves (rook's case). The metric describes the differences among patches of the same class i in the landscape.
McGarigal, K., SA Cushman, and E Ene. 2012. FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical and Continuous Maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available at the following web site: http://www.umass.edu/landeco/research/fragstats/fragstats.html
lsm_p_core
,
sd
,
lsm_c_core_mn
,
lsm_c_core_cv
,
lsm_l_core_mn
,
lsm_l_core_sd
,
lsm_l_core_cv
# NOT RUN {
lsm_c_core_sd(landscape)
# }
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